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Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 3343-3351

Where to buy it: Matching street clothing photos in online shops

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

EID: 84973885426     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.382     Document Type: Conference Paper
Times cited : (472)

References (41)
  • 1
    • 84947222450 scopus 로고    scopus 로고
    • Learning visual similarity for product design with convolutional neural networks
    • S. Bell and B. Kavita. Learning visual similarity for product design with convolutional neural networks. In ACM Transaction on Graphics (SIGGRAPH), 2015.
    • (2015) ACM Transaction on Graphics (SIGGRAPH)
    • Bell, S.1    Kavita, B.2
  • 2
    • 85161970767 scopus 로고    scopus 로고
    • Exploiting weakly-labeled web images to improve object classification: A domain adap-tation approach
    • A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: A domain adap-tation approach. NIPS, 2010.
    • (2010) NIPS
    • Bergamo, A.1    Torresani, L.2
  • 4
    • 84876523362 scopus 로고    scopus 로고
    • Describing clothing by semantic attributes
    • H. Chen, A. Gallagher, and B. Girod. Describing clothing by semantic attributes. In ECCV. 2012.
    • (2012) ECCV
    • Chen, H.1    Gallagher, A.2    Girod, B.3
  • 7
    • 84898822055 scopus 로고    scopus 로고
    • A deformable mixture parsing model with parselets
    • J. Dong, Q. Chen, W. Xia, Z. Huang, and S. Yan. A deformable mixture parsing model with parselets. ICCV, 2013.
    • (2013) ICCV
    • Dong, J.1    Chen, Q.2    Xia, W.3    Huang, Z.4    Yan, S.5
  • 8
    • 84898798531 scopus 로고    scopus 로고
    • Unsupervised visual domain adaptation using subspace alignment
    • B. Fernando, M. Habrard, M. Sebban, and T. Tuytelaars. Unsupervised visual domain adaptation using subspace alignment. ICCV, 2013.
    • (2013) ICCV
    • Fernando, B.1    Habrard, M.2    Sebban, M.3    Tuytelaars, T.4
  • 9
    • 84899710309 scopus 로고    scopus 로고
    • Efficient clothing retrieval with semantic-preserving visual phrases
    • J. Fu, J. Wang, Z. Li, M. Xu, and H. Lu. Efficient clothing retrieval with semantic-preserving visual phrases. In ACCV, 2012.
    • (2012) ACCV
    • Fu, J.1    Wang, J.2    Li, Z.3    Xu, M.4    Lu, H.5
  • 10
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
    • (2014) CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 11
    • 84866657270 scopus 로고    scopus 로고
    • Geodesic flow kernel for unsupervised domain adaptation
    • B. Gong, S. Yuan, F. Sha, and K. Grauman. Geodesic flow kernel for unsupervised domain adaptation. CVPR, 2012.
    • (2012) CVPR
    • Gong, B.1    Yuan, S.2    Sha, F.3    Grauman, K.4
  • 12
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. ICCV, 2011.
    • (2011) ICCV
    • Gopalan, R.1    Li, R.2    Chellappa, R.3
  • 13
    • 84959255777 scopus 로고    scopus 로고
    • Matchnet: Unifying feature and metric learning for patchbased matching
    • X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg. Matchnet: Unifying feature and metric learning for patchbased matching. In CVPR, 2015.
    • (2015) CVPR
    • Han, X.1    Leung, T.2    Jia, Y.3    Sukthankar, R.4    Berg, A.C.5
  • 15
    • 77956004473 scopus 로고    scopus 로고
    • Aggregating local descriptors into a compact image representation
    • H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. CVPR, 2010.
    • (2010) CVPR
    • Jegou, H.1    Douze, M.2    Schmid, C.3    Perez, P.4
  • 16
    • 84877599575 scopus 로고    scopus 로고
    • Getting the look: Clothing recognition and segmentation for automatic product suggestions in everyday photos
    • Y. Kalantidis, L. Kennedy, and L.-J. Li. Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. ACM, 2013.
    • (2013) ACM
    • Kalantidis, Y.1    Kennedy, L.2    Li, L.-J.3
  • 18
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS. 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 20
    • 84959204846 scopus 로고    scopus 로고
    • Simultaneous feature learning and hash coding with deep neural networks
    • H. Lai, Y. Pan, Y. Liu, and S. Yan. Simultaneous feature learning and hash coding with deep neural networks. In CVPR, 2015.
    • (2015) CVPR
    • Lai, H.1    Pan, Y.2    Liu, Y.3    Yan, S.4
  • 21
    • 84898778816 scopus 로고    scopus 로고
    • Parsing ikea objects: Fine pose estimation
    • J. J. Lim, H. Pirsiavash, and A. Torralba. Parsing ikea objects: Fine pose estimation. ICCV, 2013.
    • (2013) ICCV
    • Lim, J.J.1    Pirsiavash, H.2    Torralba, A.3
  • 24
    • 84866654760 scopus 로고    scopus 로고
    • Street-toshop: Cross-scenario clothing retrieval via parts alignment and auxiliary set
    • S. Liu, Z. Song, G. Liu, C. Xu, H. Lu, and S. Yan. Street-toshop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. In CVPR, 2012.
    • (2012) CVPR
    • Liu, S.1    Song, Z.2    Liu, G.3    Xu, C.4    Lu, H.5    Yan, S.6
  • 25
    • 51949119434 scopus 로고    scopus 로고
    • Fisher kenrels on visual vocabularies for image categorizaton
    • F. Perronnin and C. Dance. Fisher kenrels on visual vocabularies for image categorizaton. CVPR, 2006.
    • (2006) CVPR
    • Perronnin, F.1    Dance, C.2
  • 26
    • 77955992063 scopus 로고    scopus 로고
    • Large-scale image retrieval with compressed fisher vectors
    • F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier. Large-scale image retrieval with compressed fisher vectors. CVPR, 2010.
    • (2010) CVPR
    • Perronnin, F.1    Liu, Y.2    Sanchez, J.3    Poirier, H.4
  • 27
    • 79959771606 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Sanchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. ECCV, 2010.
    • (2010) ECCV
    • Perronnin, F.1    Sanchez, J.2    Mensink, T.3
  • 28
    • 78149301639 scopus 로고    scopus 로고
    • Adapting visual category models to new domains
    • K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. ECCV, 2010.
    • (2010) ECCV
    • Saenko, K.1    Kulis, B.2    Fritz, M.3    Darrell, T.4
  • 29
    • 84946751287 scopus 로고    scopus 로고
    • Facenet: A unified embedding for face recognition and clustering facenet
    • F. Schroff, D. Kalenichenko, and J. Philbin. Facenet: A unified embedding for face recognition and clustering facenet. In CVPR, 2015.
    • (2015) CVPR
    • Schroff, F.1    Kalenichenko, D.2    Philbin, J.3
  • 31
    • 84863043820 scopus 로고    scopus 로고
    • Predicting occupation via human clothing and contexts
    • Z. Song, M. Wang, X.-S. Hua, and S. Yan. Predicting occupation via human clothing and contexts. In ICCV, 2011.
    • (2011) ICCV
    • Song, Z.1    Wang, M.2    Hua, X.-S.3    Yan, S.4
  • 32
    • 84911198048 scopus 로고    scopus 로고
    • Deepface: Closing the gap to human-level performance in face verification
    • Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. Deepface: Closing the gap to human-level performance in face verification. In CVPR, 2014.
    • (2014) CVPR
    • Taigman, Y.1    Yang, M.2    Ranzato, M.3    Wolf, L.4
  • 35
    • 84856640199 scopus 로고    scopus 로고
    • Who blocks who: Simultaneous clothing segmentation for grouping images
    • N. Wang and H. Ai. Who blocks who: Simultaneous clothing segmentation for grouping images. In ICCV, 2011.
    • (2011) ICCV
    • Wang, N.1    Ai, H.2
  • 36
    • 84973878376 scopus 로고    scopus 로고
    • Chic or social: Visual popularity analysis in online fashion networks
    • K. Yamaguchi, T. L. Berg, and L. E. Ortiz. Chic or social: Visual popularity analysis in online fashion networks. ACM MM, 2014.
    • (2014) ACM MM
    • Yamaguchi, K.1    Berg, T.L.2    Ortiz, L.E.3
  • 37
    • 84898779488 scopus 로고    scopus 로고
    • Paper doll parsing: Retrieving similar styles to parse clothing items
    • K. Yamaguchi, M. H. Kiapour, and T. L. Berg. Paper doll parsing: retrieving similar styles to parse clothing items. ICCV, 2013.
    • (2013) ICCV
    • Yamaguchi, K.1    Kiapour, M.H.2    Berg, T.L.3
  • 39
    • 84937508363 scopus 로고    scopus 로고
    • How transferrable are features in deep neural networks?
    • J. Yosinkski, J. Clune, Y. Bengio, and H. Lipson. How transferrable are features in deep neural networks? NIPS, 2014.
    • (2014) NIPS
    • Yosinkski, J.1    Clune, J.2    Bengio, Y.3    Lipson, H.4
  • 40
    • 84959179619 scopus 로고    scopus 로고
    • Learning to compare image patches via convolutional neural networks
    • S. Zagoruyko and N. Komodakis. Learning to compare image patches via convolutional neural networks. In CVPR, 2015.
    • (2015) CVPR
    • Zagoruyko, S.1    Komodakis, N.2
  • 41
    • 84952674245 scopus 로고    scopus 로고
    • Computing the stereo matching cost with a convolutional neural network
    • J. Zbontar and Y. LeCun. Computing the stereo matching cost with a convolutional neural network. In CVPR, 2015.
    • (2015) CVPR
    • Zbontar, J.1    LeCun, Y.2


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